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NLP-Driven Document Representations for Text Ca...
48,99 € *
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NLP-Driven Document Representations for Text Categorization ab 48.99 € als Taschenbuch: Empirical Selection of NLP-Driven Document Representations for Text Categorization. Aus dem Bereich: Bücher, English, International, Gebundene Ausgaben,

Anbieter: hugendubel
Stand: 04.08.2020
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AUI Thesis Search Engine - WordNet and NLP docu...
23,99 € *
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AUI Thesis Search Engine - WordNet and NLP document based indexing ab 23.99 € als Taschenbuch: . Aus dem Bereich: Bücher, English, International, Gebundene Ausgaben,

Anbieter: hugendubel
Stand: 04.08.2020
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Deep Learning for NLP and Speech Recognition
79,02 € *
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This textbook explains Deep Learning Architecture, with applications to various NLP Tasks, including Document Classification, Machine Translation, Language Modeling, and Speech Recognition. With the widespread adoption of deep learning, natural language processing (NLP),and speech applications in many areas (including Finance, Healthcare, and Government) there is a growing need for one comprehensive resource that maps deep learning techniques to NLP and speech and provides insights into using the tools and libraries for real-world applications. Deep Learning for NLP and Speech Recognition explains recent deep learning methods applicable to NLP and speech, provides state-of-the-art approaches, and offers real-world case studies with code to provide hands-on experience. Many books focus on deep learning theory or deep learning for NLP-specific tasks while others are cookbooks for tools and libraries, but the constant flux of new algorithms, tools, frameworks, and libraries in a rapidly evolving landscape means that there are few available texts that offer the material in this book. The book is organized into three parts, aligning to different groups of readers and their expertise. The three parts are: Machine Learning, NLP, and Speech Introduction The first part has three chapters that introduce readers to the fields of NLP, speech recognition, deep learning and machine learning with basic theory and hands-on case studies using Python-based tools and libraries. Deep Learning Basics The five chapters in the second part introduce deep learning and various topics that are crucial for speech and text processing, including word embeddings, convolutional neural networks, recurrent neural networks and speech recognition basics. Theory, practical tips, state-of-the-art methods, experimentations and analysis in using the methods discussed in theory on real-world tasks. Advanced Deep Learning Techniques for Text and Speech The third part has five chapters that discuss the latest and cutting-edge research in the areas of deep learning that intersect with NLP and speech. Topics including attention mechanisms, memory augmented networks, transfer learning, multi-task learning, domain adaptation, reinforcement learning, and end-to-end deep learning for speech recognition are covered using case studies.

Anbieter: buecher
Stand: 04.08.2020
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Deep Learning for NLP and Speech Recognition
79,02 € *
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This textbook explains Deep Learning Architecture, with applications to various NLP Tasks, including Document Classification, Machine Translation, Language Modeling, and Speech Recognition. With the widespread adoption of deep learning, natural language processing (NLP),and speech applications in many areas (including Finance, Healthcare, and Government) there is a growing need for one comprehensive resource that maps deep learning techniques to NLP and speech and provides insights into using the tools and libraries for real-world applications. Deep Learning for NLP and Speech Recognition explains recent deep learning methods applicable to NLP and speech, provides state-of-the-art approaches, and offers real-world case studies with code to provide hands-on experience. Many books focus on deep learning theory or deep learning for NLP-specific tasks while others are cookbooks for tools and libraries, but the constant flux of new algorithms, tools, frameworks, and libraries in a rapidly evolving landscape means that there are few available texts that offer the material in this book. The book is organized into three parts, aligning to different groups of readers and their expertise. The three parts are: Machine Learning, NLP, and Speech Introduction The first part has three chapters that introduce readers to the fields of NLP, speech recognition, deep learning and machine learning with basic theory and hands-on case studies using Python-based tools and libraries. Deep Learning Basics The five chapters in the second part introduce deep learning and various topics that are crucial for speech and text processing, including word embeddings, convolutional neural networks, recurrent neural networks and speech recognition basics. Theory, practical tips, state-of-the-art methods, experimentations and analysis in using the methods discussed in theory on real-world tasks. Advanced Deep Learning Techniques for Text and Speech The third part has five chapters that discuss the latest and cutting-edge research in the areas of deep learning that intersect with NLP and speech. Topics including attention mechanisms, memory augmented networks, transfer learning, multi-task learning, domain adaptation, reinforcement learning, and end-to-end deep learning for speech recognition are covered using case studies.

Anbieter: buecher
Stand: 04.08.2020
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Natural Language Processing in Action: Understa...
9,95 € *
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Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions.About the TechnologyRecent advances in deep learning empower applications to understand text and speech with extreme accuracy. The result? Chatbots that can imitate real people, meaningful resume-to-job matches, superb predictive search, and automatically generated document summaries - all at a low cost. New techniques, along with accessible tools like Keras and TensorFlow, make professional-quality NLP easier than ever before.What's inside:Some sentences in this book were written by NLP! Can you guess which ones?Working with Keras, TensorFlow, gensim, and scikit-learn.Rule-based and data-based NLP.Scalable pipelines.RequirementsThis book requires a basic understanding of deep learning and intermediate Python skills.Hobson Lane, Cole Howard, and Hannes Max Hapke are experienced NLP engineers who use these techniques in production for profit and fun: contributing to social-benefit projects like smart guides for people with blindness and cognitive assistance for those with developmental challenges or suffering from information overload (don't we all?)."Provides a great overview of current NLP tools in Python. I’ll definitely be keeping this book on hand for my own NLP work. Highly recommended!" (Tony Mullen, Northeastern University - Seattle)"An intuitive guide to get you started with NLP. The book is full of programming examples that help you learn in a v 1. Language: English. Narrator: Mark Thomas. Audio sample: http://samples.audible.de/bk/acx0/162830/bk_acx0_162830_sample.mp3. Digital audiobook in aax.

Anbieter: Audible
Stand: 04.08.2020
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AUI Thesis Search Engine - WordNet and NLP docu...
23,99 € *
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AUI Thesis Search Engine - WordNet and NLP document based indexing ab 23.99 EURO

Anbieter: ebook.de
Stand: 04.08.2020
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NLP-Driven Document Representations for Text Ca...
48,99 € *
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NLP-Driven Document Representations for Text Categorization ab 48.99 EURO Empirical Selection of NLP-Driven Document Representations for Text Categorization

Anbieter: ebook.de
Stand: 04.08.2020
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Named Entity Recognition for Afan Oromo
68,00 € *
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Named Entity Recognition (NER) is an information extraction task aimed at identifying and classifying words of a sentence, a paragraph or a document into predefined categories of Named Entities (NEs). NEs are terms that are used to name a person, location or organization. They are also used to refer to the value or amount of something. NER is an important tool in almost all NLP application areas out of which it is very essential in Search Engines (Semantic based), Machine Translation, Question-Answering, Indexing for Information Retrieval and Automatic Summarization systems. A lot of NER researches have been conducted and systems have been developed for a resource rich European and Asian languages. This book proposes and presents the development of NER system for Afan Oromo, a language that has the largest native speakers in Ethiopia. The algorithms and techniques presented in this study have shown good performance thereby reflecting how NER system can be developed for a resource scarce languages.

Anbieter: Dodax
Stand: 04.08.2020
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Legal Judgement Summarizer
35,90 € *
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Basically Legal Documents were little bit tough to understand and it is too long, hence a headnote, a brief summary of the Legal Document, is a needed one. Nowadays Legal experts were doing difficult clerical work of Interpreting and summarizing the previous judgments for the generation of headnote for their case arguments and for the decision making also. Thus Natural Language Processing (NLP) based Summarization Techniques fulfill the needs of the Legal Experts in a simple and efficient manner. In this book, efficient methods like Fuzzy Logic and Conditional Random Field Algorithm were used to produce a Legal Judgment Summary. Techniques included in the process were. - 11 Feature Extraction techniques were used to find the important sentences - Fuzzy Logic Technique is implemented to perform the summarization process. - Conditional Random Field, shortly CRF is used to perform the Classification Technique by identifying the Rhetorical Roles present in the legal document. This book which paves the way for preparing the Head note automatically from the legal document, by imparting Technology.

Anbieter: Dodax
Stand: 04.08.2020
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